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fix: multilingual midel convert to tflite get wrong token (#32079)

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* fix: multilingual midel convert to tflite get wrong token

* fix: modify test_force_tokens_logits_processor the checking value as scores.dtype.min

---------

Co-authored-by: kent.sc.hung <kent.sc.hung@benq.com>
Co-authored-by: Aya <[kent831217@gmail.com]>
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Aya 2024-08-27 17:44:09 +08:00 committed by GitHub
parent 3bf6dd8aa1
commit 7562366d4b
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2 changed files with 7 additions and 2 deletions
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2
src/transformers/generation/tf_logits_process.py
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@ -581,7 +581,7 @@ class TFForceTokensLogitsProcessor(TFLogitsProcessor):
batch_size = scores.shape[0]
current_token = self.force_token_array[generation_idx]
new_scores = tf.ones_like(scores, dtype=scores.dtype) * -float("inf")
new_scores = tf.zeros_like(scores, dtype=scores.dtype) + tf.constant([scores.dtype.min])
indices = tf.stack((tf.range(batch_size), tf.tile([current_token], [batch_size])), axis=1)
updates = tf.zeros((batch_size,), dtype=scores.dtype)
new_scores = tf.tensor_scatter_nd_update(new_scores, indices, updates)

7
tests/generation/test_tf_logits_process.py
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@ -406,7 +406,12 @@ class TFLogitsProcessorTest(unittest.TestCase):
non_forced_inds = [i for i in range(vocab_size) if i != force_token_map[cur_len]]
self.assertTrue(
tf.math.reduce_all(tf.math.is_inf(tf.gather(scores, [non_forced_inds], axis=1))),
tf.math.reduce_all(
tf.experimental.numpy.isclose(
tf.gather(scores, [non_forced_inds], axis=1),
tf.constant(scores.dtype.min),
)
)
)
# check that if the cur_len is not contained in the force_token_map, the logits are not modified